Process of 3D wireless decentralized sensor deployment using parsing crossover scheme

Abstract A Wireless Sensor Networks (WSN) usually consists of numerous wireless devices deployed in a region of interest, each able to collect and process environmental information and communicate with neighboring devices. It can thus be regarded as a Multi-Agent System for territorial security, where individual agents cooperate with each other to avoid duplication of effort and to exploit other agent’s capacities. The problem of sensor deployment becomes non-trivial when we consider environmental factors, such as terrain elevations. Due to the fact that all sensors are homogeneous, the chromosomes that encode sensor positions are actually interchangeable, and conventional crossover schemes such as uniform crossover would cause some redundancy as well as over-concentration in certain specific geographical area. We propose a Parsing Crossover Scheme that intends to reduce redundancy and ease geographical concentration pattern in an effort to facilitate the search. The proposed parsing crossover method demonstrates better performances than those of uniform crossover under different terrain irregularities.

[1]  Azzedine Boukerche,et al.  A coverage-preserving scheme for wireless sensor network with irregular sensing range , 2007, Ad Hoc Networks.

[2]  Himanshu Gupta,et al.  Connected K-coverage problem in sensor networks , 2004, Proceedings. 13th International Conference on Computer Communications and Networks (IEEE Cat. No.04EX969).

[3]  József Balogh,et al.  On k−coverage in a mostly sleeping sensor network , 2008, Wirel. Networks.

[4]  Tian Song,et al.  A practical coverage algorithm for wireless sensor networks in real terrain surface , 2012, Int. J. Wirel. Mob. Comput..

[5]  Albert Hung-Ren Ko,et al.  A coverage dominance approach for sensor deployment optimization , 2011, 14th International Conference on Information Fusion.

[6]  Suman Banerjee,et al.  Node Placement for Connected Coverage in Sensor Networks , 2003 .

[7]  Carl Hewitt,et al.  DAI betwixt and between: from 'intelligent agents' to open systems science , 1991, IEEE Trans. Syst. Man Cybern..

[8]  Mohamed Hefeeda,et al.  Energy-Efficient Protocol for Deterministic and Probabilistic Coverage in Sensor Networks , 2010, IEEE Transactions on Parallel and Distributed Systems.

[9]  Aditya Trivedi,et al.  Wireless Sensor Node Placement Using Hybrid Genetic Programming and Genetic Algorithms , 2011, Int. J. Intell. Inf. Technol..

[10]  Donald F. Towsley,et al.  A study of the coverage of large-scale sensor networks , 2004, 2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE Cat. No.04EX975).

[11]  Marc Parizeau,et al.  Topography-Aware Sensor Deployment Optimization with CMA-ES , 2010, PPSN.

[12]  Henry Leung,et al.  Information fusion based smart home control system and its application , 2008, IEEE Transactions on Consumer Electronics.

[13]  I. K. Altinel,et al.  Efficient solution techniques for the integrated coverage, sink location and routing problem in wireless sensor networks , 2012, Comput. Oper. Res..

[14]  Yong-Hyuk Kim,et al.  A genetic algorithm for sensor deployment based on two-dimensional operators , 2008, SAC '08.

[15]  Michael Wooldridge,et al.  Introduction to multiagent systems , 2001 .

[16]  Pericles A. Mitkas,et al.  An agent-based intelligent environmental monitoring system , 2004, ArXiv.

[17]  Hossein Ebrahimpour-Komleh,et al.  A Positioning Method in Wireless Sensor Networks Using Genetic Algorithms , 2010, J. Digit. Content Technol. its Appl..

[18]  Amol P. Bhondekar,et al.  Genetic Algorithm Based Node Placement Methodology For Wireless Sensor Networks , 2009 .

[19]  Guangjie Han,et al.  A survey on coverage and connectivity issues in wireless sensor networks , 2012, J. Netw. Comput. Appl..

[20]  Dong Xuan,et al.  On Deploying Wireless Sensors to Achieve Both Coverage and Connectivity , 2006, 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing.

[21]  Michael Wooldridge,et al.  An Introduction to MultiAgent Systems John Wiley & Sons , 2002 .

[22]  Cem Ersoy,et al.  Sink placement on a 3D terrain for border surveillance in wireless sensor networks , 2012, Eng. Appl. Artif. Intell..

[23]  Wei Cai,et al.  A Genetic Algorithm Approach to Multi-Agent Itinerary Planning in Wireless Sensor Networks , 2011, Mob. Networks Appl..

[24]  Dervis Karaboga,et al.  A comprehensive survey: artificial bee colony (ABC) algorithm and applications , 2012, Artificial Intelligence Review.

[25]  Yu-Chee Tseng,et al.  Distributed Deployment Schemes for Mobile Wireless Sensor Networks to Ensure Multilevel Coverage , 2008 .

[26]  M. Hefeeda,et al.  Probabilistic Coverage in Wireless Sensor Networks , 2007 .

[27]  Yong-Hyuk Kim,et al.  An Efficient Genetic Algorithm for Maximum Coverage Deployment in Wireless Sensor Networks , 2013, IEEE Transactions on Cybernetics.

[28]  Henry Leung,et al.  Thermo-visual video fusion using probabilistic graphical model for human tracking , 2008, 2008 IEEE International Symposium on Circuits and Systems.

[29]  Hossein Ebrahimpour-Komleh,et al.  A Positioning Method in Wireless Sensor Networks using Genetic Algorithms , 2012 .

[30]  Marc Parizeau,et al.  Probabilistic Sensing Model for Sensor Placement Optimization Based on Line-of-Sight Coverage , 2013, IEEE Transactions on Instrumentation and Measurement.

[31]  Jeffrey V. Nickerson,et al.  Protecting with Sensor Networks: Attention and Response , 2007, 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07).